Represents a hypergeometric distribution.
Namespace: Extreme.Statistics.Distributions
Assembly: Extreme.Numerics (Extreme.Numerics)
Syntax
| Visual Basic (Declaration) |
|---|
Public Class HypergeometricDistribution _ Inherits DiscreteDistribution |
| C# |
|---|
public class HypergeometricDistribution : DiscreteDistribution |
| C++ |
|---|
public ref class HypergeometricDistribution : public DiscreteDistribution |
Methods
| Icon | Type | Description |
|---|---|---|
 | DistributionFunction(Int32) |
Evaluates the cumulative distribution function of the
distribution.
|
| Equals(Object) | |
 | Finalize() | |
| GetExpectedHistogram(Double) |
Gets a Histogram whose bins contain the expected number of samples
for a given total number of samples.
|
| GetExpectedHistogram(Int32, Int32, Double) |
Gets a Histogram whose bins contain the expected number of samples
for a given total number of samples.
|
| GetHashCode() | Serves as a hash function for a particular type. |
 | GetRandomVariate(Random, Int32, Int32, Int32) |
Returns a single random variate from a binomial distribution
with the specified parameters.
|
| GetRandomVariate(Random) |
Returns a random sample from the distribution.
|
| GetRandomVariates(Random, Int32[]()) |
Fills an Int32 array with random numbers.
|
| GetRandomVariates(Random, Int32[](), Int32, Int32) |
Fills an Int32 array with random numbers from this DiscreteDistribution.
|
| GetType() | Gets the Type of the current instance. |
| MemberwiseClone() | Creates a shallow copy of the current Object. |
| Probability(Int32) |
Evaluates the probability function of the distribution.
|
| Probability(Int32, Int32) |
Gets the probability of obtaining a sample that falls
within the specified interval from the distribution.
|
| ToString() |
Constructors
| Icon | Type | Description |
|---|---|---|
| HypergeometricDistributionNew(Int32, Int32, Int32) |
Constructs a new HypergeometricDistribution
object with the specified parameters.
|
Properties
| Icon | Type | Description |
|---|---|---|
 | Kurtosis |
Gets the kurtosis of the distribution.
|
| Mean |
Gets the mean or expectation value of the distribution.
|
| NumberOfSamples |
Gets the total number of samples taken.
|
| Skewness |
Gets the skewness of the distribution.
|
| StandardDeviation |
Gets the standard deviation of the distribution.
|
| TaggedPopulation |
Gets the number of tagged items.
|
| UntaggedPopulation |
Gets the number of untagged items.
|
| Variance |
Gets the variance of the distribution.
|
Remarks
The hypergeometric distribution describes the probabilities of obtaining a certain number of tagged elements in a sample of given size out of a population of tagged and untagged elements.
Inheritance Hierarchy
System.Object
Extreme.Statistics.Distributions.Distribution
Extreme.Statistics.Distributions.DiscreteDistribution
Extreme.Statistics.Distributions.HypergeometricDistribution
Extreme.Statistics.Distributions.Distribution
Extreme.Statistics.Distributions.DiscreteDistribution
Extreme.Statistics.Distributions.HypergeometricDistribution
